Abstract
Knowledge simplification is a process which removes unnecessary duplication from raw knowledge. The presence of unnecessary duplication can make knowledge hard to understand and hard to maintain. If two items of raw knowledge share an unstated sub-rule then any changes to that sub-rule will require that those two knowledge items should both be modified; knowledge simplification prevents this duplicate representation of sub-rules. Knowledge simplification is based on an integrated approach to knowledge representation which represents all things in an application using a single schema. A single rule for knowledge simplification is expressed in terms of this representation schema. The conventional normal forms for database are a special case of this single simplification rule.
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© 1996 Springer-Verlag Berlin Heidelberg
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Debenham, J. (1996). Knowledge simplification. In: Raś, Z.W., Michalewicz, M. (eds) Foundations of Intelligent Systems. ISMIS 1996. Lecture Notes in Computer Science, vol 1079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61286-6_155
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DOI: https://doi.org/10.1007/3-540-61286-6_155
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